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Mozilla announced a mission to help developers create speech-to-text applications by making voice recognition and deep learning algorithms available to everyone. The company’s machine learning group is one step closer to completing that mission with the initial open source release of its speech recognition model and voice dataset.

A new program, detailed in a paper titled, “Generative Visual Manipulation on the Natural Image Manifold”, uses machine learning to edit images based on an understanding of what looks real and what doesn't. It then generates output which ensures that every edit performed by the user creates a realistic-looking result, regardless of their level of ability.

Yosinski is performing a kind of brain surgery on the AI running on his laptop. Like many of the AIs that will soon be powering so much of modern life, this program is a deep neural network, with an architecture loosely inspired by the brain. And like the brain, the program is hard to understand from the outside: It’s a black box.

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